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Listar por autor "De la Fuente-Valentin, Luis"

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    • A systematic review of the effects of automatic scoring and automatic feedback in educational settings 

      Guerra Hahn, Marcelo ; Baldiris, Silvia ; De la Fuente-Valentin, Luis ; Burgos, Daniel (Institute of Electrical and Electronics Engineers Inc., 2021)
      Automatic scoring and feedback tools have become critical components of online learning proliferation. These tools range from multiple-choice questions to grading essays using machine learning (ML). Learning environments ...

    • Bayesian Knowledge Tracing for Navigation through Marzano's Taxonomy 

      Cervantes-Perez, Francisco ; Navarro-Perales, Joaquin; Franzoni-Velázquez, Ana L.; De la Fuente-Valentin, Luis (International Journal of Interactive Multimedia and Artificial Intelligence, 2021)
      In this paper we propose a theoretical model of an ITS (Intelligent Tutoring Systems) capable of improving and updating computer-aided navigation based on Bloom's taxonomy. For this we use the Bayesian Knowledge Tracing ...

    • Learning Pathway Recommendation based on a Pedagogical Ontology and its Implementation in Moodle 

      Henning, Peter A; Forstner, Alexandra; Heberle, Florian; Swertz, Christian; Schmölz, Alexander; Barberi, Alessandro; Verdú, Elena; Regueras, Luisa M.; Verdú, María J; de Castro, Juan-Pablo; Burgos, Daniel; De la Fuente-Valentin, Luis; Gal, Eran; Parodi, Elisabetta; Schwertel, Uta; Steudter, Sven (Lecture Notes in Informatics, 2014)
      When learners may select among different alternatives, or are guided to do so by an adaptive learning environment (ALE), it is generally meaningful to discuss the concept of different learning pathways. Pedagogically, these ...

    • Sentiment analysis methods for politics and hate speech contents in Spanish language: a systematic review 

      del Valle-Martín, Ernesto; De la Fuente-Valentin, Luis (IEEE Latin America Transactions, 2023)
      The political debate in social networks, and its derivatives such as hate speech, has surfaced at the top of the social agenda due to its impact on public opinion and, consequently, in the communication strategies of ...

    • Using Meta-Learning to predict student performance in virtual learning environments 

      Casado Hidalgo, Ángel; Moreno-Ger, Pablo; De la Fuente-Valentin, Luis (Applied Intelligence, 2022)
      Educational Data Science has meant an important advancement in the understanding and improvemen of learning models in recent years. One of the most relevant research topics is student performance prediction through ...